Yung‐Hui Kuan

788 total citations
11 papers, 660 citations indexed

About

Yung‐Hui Kuan is a scholar working on Physiology, Neurology and Physiology. According to data from OpenAlex, Yung‐Hui Kuan has authored 11 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 5 papers in Neurology and 4 papers in Physiology. Recurrent topics in Yung‐Hui Kuan's work include Pain Mechanisms and Treatments (5 papers), Adenosine and Purinergic Signaling (4 papers) and Vagus Nerve Stimulation Research (2 papers). Yung‐Hui Kuan is often cited by papers focused on Pain Mechanisms and Treatments (5 papers), Adenosine and Purinergic Signaling (4 papers) and Vagus Nerve Stimulation Research (2 papers). Yung‐Hui Kuan collaborates with scholars based in Taiwan, Germany and United States. Yung‐Hui Kuan's co-authors include Jingwen Wang, Michael D. Gershon, Min‐Tsai Liu, René Hen, Bai‐Chuang Shyu, Annette Nicke, Dariusz C. Górecki, Olaf Bender, Ruth D. Murrell‐Lagnado and Marianela Masin and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Pain.

In The Last Decade

Yung‐Hui Kuan

11 papers receiving 652 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yung‐Hui Kuan Taiwan 9 196 194 168 151 146 11 660
Guang-Yin Xu China 7 274 1.4× 170 0.9× 156 0.9× 67 0.4× 60 0.4× 9 516
M. Verónica Donoso Chile 16 213 1.1× 156 0.8× 249 1.5× 16 0.1× 153 1.0× 36 693
Orline Bayguinov United States 17 166 0.8× 35 0.2× 365 2.2× 181 1.2× 92 0.6× 24 687
Humphrey Pp United Kingdom 6 120 0.6× 447 2.3× 198 1.2× 20 0.1× 33 0.2× 9 648
Anne‐Julie Chabot‐Doré Canada 13 269 1.4× 101 0.5× 221 1.3× 7 0.0× 57 0.4× 13 651
Min‐Tsai Liu United States 11 174 0.9× 14 0.1× 267 1.6× 389 2.6× 370 2.5× 13 940
Hideaki Nishio Japan 14 217 1.1× 26 0.1× 235 1.4× 100 0.7× 101 0.7× 32 608
Kazimierz Babinski Canada 13 155 0.8× 289 1.5× 619 3.7× 14 0.1× 46 0.3× 16 1.0k
Timothy K. Y. Kaan United Kingdom 9 287 1.5× 195 1.0× 106 0.6× 6 0.0× 28 0.2× 10 607
Juliana Maia Teixeira Brazil 16 282 1.4× 145 0.7× 104 0.6× 8 0.1× 14 0.1× 21 544

Countries citing papers authored by Yung‐Hui Kuan

Since Specialization
Citations

This map shows the geographic impact of Yung‐Hui Kuan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yung‐Hui Kuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yung‐Hui Kuan more than expected).

Fields of papers citing papers by Yung‐Hui Kuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yung‐Hui Kuan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yung‐Hui Kuan. The network helps show where Yung‐Hui Kuan may publish in the future.

Co-authorship network of co-authors of Yung‐Hui Kuan

This figure shows the co-authorship network connecting the top 25 collaborators of Yung‐Hui Kuan. A scholar is included among the top collaborators of Yung‐Hui Kuan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yung‐Hui Kuan. Yung‐Hui Kuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Kuan, Yung‐Hui, et al.. (2023). Modulation of Thalamocingulate Nociceptive Transmission and Glutamate Secretion by Targeting P2×7 Receptor. Journal of Pain. 24(11). 1915–1930. 2 indexed citations
2.
Kuan, Yung‐Hui, et al.. (2018). Involvement of P2X7 Receptors and BDNF in the Pathogenesis of Central Poststroke Pain. Advances in experimental medicine and biology. 1099. 211–227. 11 indexed citations
3.
4.
Kuan, Yung‐Hui & Bai‐Chuang Shyu. (2016). Nociceptive transmission and modulation via P2X receptors in central pain syndrome. Molecular Brain. 9(1). 58–58. 48 indexed citations
5.
Kuan, Yung‐Hui, et al.. (2015). Targeting P2X7 receptor for the treatment of central post-stroke pain in a rodent model. Neurobiology of Disease. 78. 134–145. 45 indexed citations
6.
Chang, Wei‐Jen, et al.. (2015). A [14C]iodoantipyrine Study of Inter-Regional Correlations of Neural Substrates Following Central Post-Stroke Pain in Rats. Molecular Pain. 11. 9–9. 12 indexed citations
7.
Kuan, Yung‐Hui, et al.. (2015). Animal models of central post-stroke pain. 3 indexed citations
8.
Liu, Min‐Tsai, Yung‐Hui Kuan, Jingwen Wang, René Hen, & Michael D. Gershon. (2009). 5-HT4Receptor-Mediated Neuroprotection and Neurogenesis in the Enteric Nervous System of Adult Mice. Journal of Neuroscience. 29(31). 9683–9699. 269 indexed citations
9.
Nicke, Annette, Yung‐Hui Kuan, Marianela Masin, et al.. (2009). A Functional P2X7 Splice Variant with an Alternative Transmembrane Domain 1 Escapes Gene Inactivation in P2X7 Knock-out Mice. Journal of Biological Chemistry. 284(38). 25813–25822. 166 indexed citations
10.
Rusu, Patricia M., Anna Jansen, Peter Soba, et al.. (2007). Axonal accumulation of synaptic markers in APP transgenic Drosophila depends on the NPTY motif and is paralleled by defects in synaptic plasticity. European Journal of Neuroscience. 25(4). 1079–1086. 34 indexed citations
11.
Kuan, Yung‐Hui, Peter Soba, Simone Eggert, et al.. (2006). PAT1a Modulates Intracellular Transport and Processing of Amyloid Precursor Protein (APP), APLP1, and APLP2. Journal of Biological Chemistry. 281(52). 40114–40123. 32 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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